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Artificial Intelligence Write for Us | Submit an AI Guest Post

Artificial intelligence is changing how people build software, serve
customers, analyze information, create content, and make business
decisions. At Computer Tech Reviews, we want to publish useful AI
articles that help readers understand these changes without unnecessary
hype or confusing technical language.

We welcome contributions from AI developers, researchers, product
managers, technology consultants, business leaders, educators, and
writers with practical experience. Whether you are explaining a model,
reviewing an AI platform, documenting an implementation, or examining
the risks of adoption, your article should leave the reader with
knowledge they can apply.

This page is the main contributor hub for our AI and emerging technology
topics. If your proposed article belongs to a more specific subject,
select the appropriate section below before sending your pitch.


← View the main Write for Us page

AI Topics We Welcome

We are interested in original explainers, tutorials, comparisons, case
studies, implementation guides, informed opinion pieces, and
product-focused articles. The following topic areas show the kinds of
contributions we currently welcome.

AI Strategy, Readiness and Business Adoption

Organizations often struggle with questions that come before
implementation: Is the business ready for AI? Which processes should be
automated? What data is required? How should employees use AI
responsibly? We welcome practical articles that answer these questions
using realistic examples, frameworks, lessons, and measurable outcomes.

Generative and Conversational AI

Generative AI is no longer limited to experimental text tools. It now
supports content creation, coding, research, customer service, design,
voice applications, and workplace automation. Strong submissions should
explain how these systems work, where they add genuine value, and what
limitations users should understand.

Machine Learning and Model Development

We welcome educational and technical contributions covering the
complete machine-learning workflow—from preparing data and selecting
algorithms to training, evaluating, deploying, and monitoring models.
Authors may also discuss model repositories, open-source communities,
automated machine learning, fine-tuning, and responsible model
development.

AI Models, Companies and Platforms

The AI model landscape develops quickly, making clear and carefully
researched coverage especially valuable. We accept model comparisons,
platform tutorials, API implementation guides, benchmark explanations,
deployment experiences, and balanced discussions of capabilities and
limitations.

Articles about individual companies or models should be based on
first-hand testing or reliable documentation. Avoid presenting
promotional claims as independent conclusions. When comparing models,
explain the testing method, prompts, settings, costs, and evaluation
criteria so readers can understand how the results were reached.

Visual Search and Computer Vision

Visual AI can recognize objects, interpret images, extract information,
support accessibility, and connect physical objects with digital
information. We welcome tutorials, use cases, privacy discussions, and
practical evaluations of visual-search technologies.

What Makes a Strong AI Article?

A useful AI article does more than repeat a product announcement or
describe a tool’s features. It helps the reader understand a problem,
evaluate possible solutions, and make a better decision. The strongest
submissions usually include direct experience, original observations,
practical examples, screenshots, test results, or a clearly explained
point of view.

Your proposed article should:

  • Address a specific question, problem, process, or use case.
  • Be written for a clearly identifiable audience.
  • Explain technical ideas in accessible language.
  • Include practical examples instead of relying only on definitions.
  • Separate verified facts from predictions and personal opinions.
  • Acknowledge meaningful limitations, risks, and trade-offs.
  • Cite reliable sources for statistics, research, and technical claims.
  • Reflect the current version of any model, platform, or product discussed.

AI Article Ideas You Can Pitch

If you are unsure where to begin, consider topics such as:

  • A step-by-step AI implementation or integration guide
  • A real-world AI adoption case study
  • An evidence-based comparison of AI models or platforms
  • A tutorial based on a project you completed
  • An explanation of an emerging AI technique
  • AI governance, privacy, security, bias, or compliance
  • Evaluating the cost and return of an AI implementation
  • Preparing business data and teams for AI adoption
  • Common AI deployment failures and how to avoid them
  • Responsible use of AI in a particular industry

Content We Are Unlikely to Accept

We do not want articles written primarily to promote a company, product,
service, or backlink. We may also reject submissions that contain
unsupported claims, invented statistics, outdated product information,
excessive keyword repetition, copied material, or generic observations
that could apply to almost any AI tool.

AI-assisted writing is not automatically disqualified, but the author
remains responsible for every claim in the article. Submissions must be
fact-checked, edited by a person, and improved with genuine expertise or
original analysis. Do not submit unverified AI-generated citations,
examples, quotations, or product capabilities.

Editorial Guidelines

  • Submit original content that has not been published elsewhere.
  • Write a minimum of 800 words for a standard article.
  • Use a clear title, introduction, headings, and short paragraphs.
  • Avoid promotional or sales-focused language.
  • Support factual claims with credible and current sources.
  • Disclose relevant commercial relationships or conflicts of interest.
  • Use screenshots and images only when you have permission to publish them.
  • Proofread the article for grammar, clarity, and factual accuracy.
  • Links must be relevant and useful to the reader.
  • Our editorial team may edit the submission for clarity and formatting.

How to Submit an AI Article

Before sending a complete draft, you may email us a short pitch containing:

  • Your proposed title
  • A brief explanation of the article
  • The intended reader and the problem the article will solve
  • A proposed outline
  • Links to relevant writing samples
  • Details of any product, employer, or client connected to the topic

Send your proposal or completed article to

contact@computertechreviews.com
.

Please select the most relevant AI topic page above before submitting.
This helps us understand where your proposed article belongs within
Computer Tech Reviews.

Frequently Asked Questions

Do you accept AI guest posts from new writers?

Yes. Professional writing experience is helpful but not required. We
place greater value on subject knowledge, originality, accuracy, and the
ability to explain a topic clearly.

Can I write about a specific AI model or company?

Yes, provided the article is useful and editorially balanced. Tutorials,
comparisons, technical explanations, and first-hand evaluations are
preferable to promotional company profiles.

Can I submit an article created with an AI writing tool?

AI tools may assist with research or drafting, but they cannot replace
human expertise and verification. The author must check every factual
claim, source, quotation, example, and product detail before submission.

Should I submit a pitch or a complete article?

You may send either, although a focused pitch can prevent you from
spending time on a subject that does not fit our current editorial
requirements.